COMS 4701 FINAL PRACTICE EXAM SPRING 2024 1.Consider a second-order hidden Markov model, in which Xt generally depends on both  Xt-1  and Xt-2.The initial distribution is    Pr(Xo,X₁),transition probabilities are Pr(Xt|Xt-1,Xt-2)for t≥2, and observation probabilities are Pr(E|Xt)for   t≥1. (a)Circle either true or false for each of the conditional independence statements below that are guaranteed to hold in the second-order HMM. (b)  Give a minimal expression for Pr(X₁,…,X₅,e₁,…,e₅) using…

COMP3511/9511 Human Computer Interaction Assignment 1 Term 2, 2025 User Interface Analysis & Critique DUE: Friday, July 4th at 23:59 (Week 5) 1.   Introduction In designing a user interface, it is important to be able to critically analyse what makes a website good or bad, without just stating that you do or do not like it. The critique should be based on formal user interface principles and theories instead of basing it on your ideas.The process of providing a critique involves stating both the positive and negative aspects of the interface. In this assignment, you will critically analyse…

MATH2601: Computer Tutorials and Assignments Academic Year 2024/25 Organisation Tutorials In the tutorials, we will introduce new tools and concepts in Python, in order to use methods from numerical analysis to solve a range of mathematical problems. Assignments Computer assignments will be set fortnightly. During the Computer Practical classes on Monday, you will be able to work independently on these assignments, under the supervision of academic staff. You should submit your work by 4.pm on the Monday in the week following the week of the Practical  class to receive feedback. Write your work in a Python Jupyter Notebook called xyz_N .ipynb, where xyz is your ISS username (i.e., your login) and N the number of the assignment (1, 2, 3, 4, 5), then submit it to the Assessment area for MATH2601 on the VLE. Jupyter Notebooks will  naturally allow you to write a short report, i.e., to produce an analysis of your results and to comment on them. Assessments Two of the computer assignments, 3 and 5, will be assessed. They will be graded and you will get  feedback on your work. The overall Computer Assessment grade counts for 30% of the MATH2601 grade and students need to achieve at least 40% on the Computer Assessments to pass the module. Chapter 1 Computational accuracy 1.1 Tutorial 1.1.1 Motivation Suppose we wish to evaluate exp x to a very high accuracy. As discussed in the lecture, floating-point arithmetic provides only limited precision, which will limit the accuracy of calculation,…

KFD-Culture   &Organizations Assessment 2-Individual Assignment:Case Study(80%) Instructions: a)Please cite your sources in APA citation format. b)Include in-text citations and a Reference List(APA Style). You are to provide between 4-5 references. c)Font type-Arial OR Times New Roman,size 12. d)You must double space the paper(with the exception of the Reference List). e)Ensure proper numbering of answers according to the questions. f)As this is an academic assignment,you should gather information from a variety of sources,eg.books,journals,newspapers,online       articles,etc. Please ensure that published sources exceed online materials to meet reliability criterion. g)LMS submission (only PDF files will be accepted):Allowed plagiarism rate of ≤20% . h) DO NOT insert any headers or footers(including page numbers)in your assignment as the system will produce an error message.This will affect your plagiarism report and grades. i)   Penalty for late submission: 1-4 days:5% deducted EACH DAY and more than 4 days:0marks i)   Date of submission: Last lesson of…

BUAN 244: Business Analytics – Summer 2025 (CRN: 21275) As of 6/20/2025 Recommended Texts 1.    R for Data Science – Hadley Wickham & Garrett Grolemund, 2017. Click here to access this freely available textbook. 2.    Introduction to Data Cleaning with R – de Jong and van der Loo (Statistics Netherlands, 2013). Click here to access this freely available manuscript. Software This course will use R, R Studio, and Tableau. Installation guides will be provided. Course Description This course introduces data visualization, emphasizing how data should be explored to reveal unexpected patterns, trends,…

COMS 4701 Midterm Practice Exam Spring 2024 1.  Consider the directed search graph shown below.  S is the start state and G is the goal state.  Transition costs are shown along the graph edges. Note that the transition between C and D is bidirectional. (a)  For each of the search algorithms below, indicate the largest number of nodes that may possibly be expanded, not counting the goal state.  Assume all algorithms conduct the goal test upon popping a node from the frontier.  (Your answer may be ∞ .) Depth-first search with no reached table Depth-first search with reached table Breadth-first search with reached table (b)  Suppose we run uniform-cost search on this search graph.  List the order in which nodes are expanded (do not count the goal state) and give the final solution returned. Expanded nodes Returned solution (c)  Suppose we currently have a heuristic function h(n) = 0 for all nodes n.  Propose a change to the heuristic of a single node (indicate both node and heuristic value), such that h remains admissible and A* may expand fewer nodes than UCS. Also write out this shorter sequence of expanded nodes. New heuristic h(n) = x Expanded nodes 2.  The graph below represents a particular constraint satisfaction problem. Nodes represent variables and directed edges indicate the presence of at least one unidirectional binary constraint between the two adjacent variables. There are no higher-order constraints. (a)  For this part only, suppose the domains of the variables X and Y are all real numbers R.  There are two implicit constraints between them:  X2 – Y = 0 and 3X – Y = 2.  Rewrite these two implicit constraints as one explicit constraint. (b)  After making sure that the CSP is fully arc-consistent, we select A as the first variable to assign and then perform arc consistency again. At minimum which arcs must be checked?  Which variables’ domains, if any, may be modified if no other arcs are checked? (c)  Suppose again that we are starting with an arc-consistent CSP and that we assign A as our first variable. When we perform.  arc consistency  again,  what  are  all the  arcs that may be  checked in the worst or maximum case? Which variables’ domains, if any, may be modified in this situation? 3. In this problem you will investigate the minimax tree shown below.  The root node is MIN, it has three MAX children nodes, and each leads to four possible terminal nodes with utilities shown in the boxes….

For the final project in this class you can choose from 3 options:Choose 1 of the 3:1. Nutrition in the news2. Nutrition documentary reflection3. Community health brochure.1. Nutrition in the news:Find a social media post or nutrition headline that you want to evaluate further.Then find a research study or the study the headline is referencing….

UNSW – MARK3081 Case Analysis Assignment: NaturaTerm 2, 2025Instructor: Jack Cadeaux Assignment Overview This is an individual assignment worth 25% of your final grade. It consists of a written analysis due no later than the start of the lecture session in Week 4 (i.e., 11:00 AM on Monday, 23 June 2025). Word Limit: 1250 words…

GEOG 20016 Fertility, Mortality and Social Change Health and mortality transitions A/Prof Tim Adair The Nossal Institute for Global Health Melbourne School of Population and Global Health Introduction Why is mortality of interest to demographers? • Measuring the level and patterns of mortality has been a focus of demography since its inception. ➢Work of John…

Growing old: population aging Fertility, Mortality and Social Change GEOG20016 Photo credit: Ibu Kemi of Gunung Kidul, Peter McDonald, Ageing in Rural Indonesia Project. Today: population aging 1. Introduction: Demographic perspective of ageing: Definition and the two dimensions of population ageing 2. Indicators 3. Gender and ageing 4. Depressing streak in demography: too many people,…